Observational studyScientific reports2022
Delta-like canonical Notch ligand 1 is predictive for sepsis and acute kidney injury in surgical intensive care patients.
Observational study in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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Who cites it
8 citing papers in PubMed, 7 citations in OpenAlex.
- Development and external validation of a machine learning model for predicting post-CABG acute kidney injury: insights from MIMIC database and real-world cardiac surgery cohort.BMC nephrology · 2026Article
- Research progress on biomarkers for acute kidney injury in children.Pediatric nephrology (Berlin, Germany) · 2026Review
- Evaluating the diagnostic and prognostic utility of serum DLL1 in acute-on-chronic liver failure patients with bacterial infections.Frontiers in medicine · 2026Article
- Soluble DLL1 as an Indicator of acute kidney injury and postoperative delirium following cardiac surgery: a secondary analysis of a prospective study.Perioperative medicine (London, England) · 2025Article
- Association of elevated Delta-like canonical Notch ligand 1 levels with clinical outcomes in patients hospitalized for SARS-CoV2 infection.Scientific reports · 2025Observational
- Evaluation of the Novel Sepsis Biomarker Host-Derived Delta-like Canonical Notch Ligand 1-A Secondary Analysis of 405 Patients Suffering from Inflammatory or Infectious Diseases.International journal of molecular sciences · 2023Article
- Notch Signaling in Acute Inflammation and Sepsis.International journal of molecular sciences · 2023Review
- Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The early identification of sepsis in surgical intensive care patients is challenging due to the physiological postoperative alterations of vital signs and inflammatory biomarkers. Soluble Delta-like protein 1 (sDLL1) may be a potential discriminatory biomarker for this purpose. For this reason, this study aimed to evaluate sDLL1 for the identification of sepsis in a cohort of surgical intensive care patients. This study comprises a secondary analysis of a prospective observational study including 80 consecutive patients. The study groups included 20 septic shock patients, 20 patients each undergoing major abdominal surgery (MAS) and cardiac artery bypass surgery (CABG), and 20 matched control subjects (CTRL). The surveillance period was 72 h. The plasma concentration of sDLL1 was measured with ELISA. The plasma levels of sDLL1 were significantly elevated in septic patients compared to both surgical cohorts (septic vs. all postoperative time points, data are shown as median and interquartile range [IQR]; septic shock: 17,363 [12,053-27,299] ng/mL, CABG 10,904 [8692-16,250] ng/mL; MAS 6485 [4615-9068] ng/mL; CTRL 5751 [3743-7109] ng/mL; septic shock vs. CABG: p < 0.001; septic shock vs. MAS: p < 0.001). ROC analysis showed a sufficient prediction of sepsis with limited specificity (AUCROC 0.82 [0.75-0.82], sensitivity 84%, specificity 68%). The plasma levels of sDLL correlated closely with renal parameters (creatinine: correlation coefficient = 0.60, r
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